• Journal of The Korean Association For Science Education
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• v.39 no.4
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• pp.499-510
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• 2019

History and philosophy of science has been consistently emphasized in science education for various purposes. In accordance with the introduction of the 2015 revised curriculum, history of science could be implemented for the curriculum; designing well-organized learning strategies is required. This study examines the case of undergraduate students who solved the convergence problem based on history and philosophy of science in the problem-based learning program. In particular, this study tries to find strategies for integrated education by comparing the problem structuring process and the meaning of problem solving experience of science/engineering and humanities/social sciences students. Participants were three students majoring in science/engineering and humanities/social sciences. Participants constructed and solved their own convergence problems by integrating the domains that were familiar to them into history and philosophy of science. While the process of structuring the problems and the use of history and philosophy of science were similar, there were differences between the science/engineering and humanities/social sciences students' point of view on history and philosophy of science and the other domain which they choose. Moreover, there were differences between the two group's meanings of problem solving experience. Finally, based on the results of this study, history and philosophy in science provided some implications in the context of science education and integrated education.

• Communications of the Korean Mathematical Society
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• v.25 no.2
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• pp.207-214
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• 2010

In this paper, a generalized variational inequality problem is considered. An iterative method is studied for approximating a solution of the generalized variational inequality problem. Strong convergence theorem are established in a real Hilbert space.

• Tribology and Lubricants
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• v.8 no.1
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• pp.38-43
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• 1992

In solving the Reynolds equation in dynamically loaded bearing problem, it is almost impossible to find the squeeze velocity and the cavitation region by analytical method. Finite Element Method was applied to the piston-ring lubrication analysis to solve the complementary problem. The method was very efficient and any convergence problem was not encountered.

• Journal of Electrical Engineering and Technology
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• v.1 no.4
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• pp.455-460
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• 2006

This paper presents the convergency property of the Auxiliary Problem Principle when it is applied to large-scale Optimal Power Flow problems with Distributed or Parallel computation features. The key features and factors affecting the convergence ratio and solution stability of APP are also analyzed.

• Journal of Digital Convergence
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• v.15 no.11
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• pp.271-283
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• 2017

The purpose of the study is to verify the effectiveness the preliminary Health Administrators' Social Problem Solving Competency(SPSC) through the application of the learner-centered program Convergence Design Thinking(CDT) conducted by undergraduate school of Intrapreneurship the integrated curriculum, and evaluation of SPSC improvement effect. A pre-post-questionnaire survey was carried out that started March to June 2016 among the forty-five second-year college students from the Health Administration Department who participated in the CDT during the 15 weeks training. The main results are as follows. CDT were positive influenced on the improvement of Negative problem orientation, Impulsive careless style(ICS) and Avoidance coping style of the preliminary Health Administrators' SPSC. Especially, female college student or the absence of working experience, it was effective on the improvement of ICS of the participants. This CDT program identified having positive effects on their participation, SPSC. To further improve SPSC, The development of integrated curriculum and application of creative teaching method like this CDT is highly recommended.

• Journal of Digital Convergence
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• v.13 no.9
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• pp.29-37
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• 2015

This study investigated the effectiveness of the learning community for the development of convergence on self-directed learning and problem-solving. One hundred ninety-nine university students participated in the study. In specific, one hundred twenty-three among them participated learning community program at the center for teaching and learning for nine weeks while the others were are not as a control group. Pre-post survey with 62 items was conducted regarding self-directed learning(35 items) and problem-solving(27 items). To analyze the data statistically, ANCOVA(Analysis of Covariate) was used. As results, university students in learning community program showed significant difference in all areas of the survey. In other words, university students in learning community program improved self-directed learning and problem solving more than those who were in the control group. Suggestions and ideas of further studies were discussed.

• Journal of Biomedical Engineering Research
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• v.42 no.6
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• pp.287-294
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• 2021

Cardiotoxicity assessment of all drugs has been performed according to the ICH guidelines since 2005. Non-clinical evaluation S7B has focused on the hERG assay, which has a low specificity problem. The comprehensive in vitro proarrhythmia assay (CiPA) project was initiated to correct this problem, which presented a model for classifying the Torsade de pointes (TdP)-induced risk of drugs as biomarkers calculated through an in silico ventricular model. In this study, we propose a TdP-induced risk group classifier of artificial neural network (ANN)-based. The model was trained with 12 drugs and tested with 16 drugs. The ANN model was performed according to nine features, seven features, five features as an individual ANN model input, and the model with the highest performance was selected and compared with the classification performance of the qNet input logistic regression model. When the five features model was used, the results were AUC 0.93 in the high-risk group, AUC 0.73 in the intermediate-risk group, and 0.92 in the low-risk group. The model's performance using qNet was lower than the ANN model in the high-risk group by 17.6% and in the low-risk group by 29.5%. This study was able to express performance in the three risk groups, and it is a model that solved the problem of low specificity, which is the problem of hERG assay.

• Nuclear Engineering and Technology
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• v.54 no.1
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• pp.49-60
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• 2022

Motivated by the high-resolution properties of high-order Weighted Essentially Non-Oscillatory (WENO) and flux limiter (FL) for steep-gradient problems and the robust convergence of Jacobian-free Newton-Krylov (JFNK) methods for nonlinear systems, the preconditioned JFNK fully implicit high-order WENO and FL schemes are proposed to solve the transient two-phase two-fluid models. Specially, the second-order fully-implicit BDF2 is used for the temporal operator and then the third-order WENO schemes and various flux limiters can be adopted to discrete the spatial operator. For the sake of the generalization of the finite-difference-based preconditioning acceleration methods and the excellent convergence to solve the complicated and various operational conditions, the random vector instead of the initial condition is skillfully chosen as the solving variables to obtain better sparsity pattern or more positions of non-zero elements in this paper. Finally, the WENO_JFNK and FL_JFNK codes are developed and then the two-phase steep-gradient problem, phase appearance/disappearance problem, U-tube problem and linear advection problem are tested to analyze the convergence, computational cost and efficiency in detailed. Numerical results show that WENO_JFNK and FL_JFNK can significantly reduce numerical diffusion and obtain better solutions than traditional methods. WENO_JFNK gives more stable and accurate solutions than FL_JFNK for the test problems and the proposed finite-difference-based preconditioning acceleration methods based on the random vector can significantly improve the convergence speed and efficiency.

• Electronics and Telecommunications Trends
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• v.36 no.6
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• pp.88-95
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• 2021

Korea will face difficult social problems including population decline and climate change in the future. Artificial intelligence (AI)-powered ICT convergence services are expected to greatly help in overcoming these social challenges. Accordingly, we have derived key promising services (AI+x) in terms of individuals, industries, and countries and identified expectations and threats perceived by the general public. These findings provide policies and research directions for promising AI-based ICT convergence services for social goods.

• Journal of Engineering Education Research
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• v.19 no.2
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• pp.14-25
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• 2016

This study deals with how liberal education in engineering could be positioned properly in an era of convergence. Disciplines of Engineering has long been focusing on engineer as a 'technical profession' and the liberal education as an accessory to major study has been left behind. Under this understanding, the topic of 'convergence' in the 21th century engineering is hardly to find its way to the establishment into engineering education. This study suggests a direction for the reform of liberal education in engineering, which is expected to overcome the distinction between professional and non-professional aligned with major education and liberal one. For the reform, introducing and developing contents and methodologies considering convergence would open the door of engineering education to interdisciplinary study and to 'open-profession'. Next, the problem solving model in education will be very effective for learners to define the problem, to utilize various knowledges and to lead to meaningful solution. Lastly, we emphasize the changing context of liberal education and it is necessary to integrate 'technology literacy' into liberal education in relation to major study.